Title :
A novel partially occluded face recognition method based on biomimetic pattern recognition
Author :
Zeng, Jun-ying ; Gan, Jun-ying ; Zhai, Yi-kui
Author_Institution :
Sch. of Inf. Eng., Wu Yi Univ., Jiangmen, China
Abstract :
A novel partially occluded face recognition method based on biomimetic pattern recognition (BPR), proposed by academician Shoujue Wang, is proposed in this paper. A model for partially occluded face recognition based on BPR was introduced. An experiment based on biomimetic pattern recognition adopting a PCA and LDA feature extraction method is performed. Experimental results on Yale image database demonstrate that the use of Biomimetic Pattern Recognition makes it possible to achieve highly accurate and efficient recognition results with the proposed partially occluded face recognition model.
Keywords :
face recognition; feature extraction; principal component analysis; visual databases; BPR; LDA feature extraction method; PCA; Yale image database; biomimetic pattern recognition; partially occluded face recognition method; Business process re-engineering; Face; Face recognition; Principal component analysis; Training; Vectors; Biomimetic Pattern Recognition; Occluded Face Recognition;
Conference_Titel :
Wavelet Analysis and Pattern Recognition (ICWAPR), 2012 International Conference on
Conference_Location :
Xian
Print_ISBN :
978-1-4673-1534-0
DOI :
10.1109/ICWAPR.2012.6294774
